In document image analysis, segmentation is the task that identifies the regions of a
document. The increasing number of applications of document analysis requires a good …

Region-Based Convolutional Neural Network for Segmenting Text in Epigraphical Images Page
1 Received: 1 July 2022 | Revised: 31 August 2022 | Accepted: 6 September 2022 | Published …

The rapid growth of digital libraries, e-governance, and internet based applications has
caused an exponential escalation in the volume of 'Big-data'particularly due to texts, images …

Accurate layout analysis without subsequent text-line segmentation remains an ongoing
challenge, especially when facing the Kangyur, a kind of historical Tibetan document …

In the digital age swift teams are becoming the new norm. These work groups are ad-hoc
and have very little knowledge or previous interaction with other group members. Dynamics …

Multiple attenuation is an important issue in seismic exploration. The high-resolution
parabolic Radon transform (RT) is a widely used multiple attenuation method for the …

Annotation. The method of selection of text areas on the image of the scanned document
from the background is proposed. Text areas of the image have approximately the same …

A new algorithm for segmenting documents into regions containing musical scores and text
is proposed. Such segmentation is a required step prior to applying optical character …

Handwritten Chinese envelopes have three obvious characteristics: handwritten text lines
are the main part of the envelope image; there is no distinct border between the destination …

Page segmentation is considered to be the crucial stage for the automatic analysis of
documents with complex layouts. This has traditionally been carried out in uncompressed …